How the creator economy is making you talk like the internet

Episode Summary

Executive Summary: The episode examines how social media algorithms are reshaping language, identity, and the creator economy through linguist-influencer Adam Alexic’s work. It argues that platforms don’t just distribute speech; they incentivize particular words, accents, and labels, accelerating slang, euphemisms, and even political rhetoric, while rewarding creators who adapt to algorithmic demands.

Main Topics: Creator economy and language (Priority: 5/5): The show explores how creators monetize attention by producing content tailored to platform incentives, and how that process changes what kinds of language spread and survive online. Algo-speak and platform censorship (Priority: 5/5): Adam Alexic explains how words like 'unalive' emerge as platform-safe alternatives to avoid moderation or suppression, showing how algorithms directly influence word choice. Slang diffusion and viral repetition (Priority: 4/5): Viral memes and trending terms such as 'skibbity,' 'rizz,' and 'demure' spread rapidly because algorithms reward repetition, engagement, and metadata-like language. Algorithms, identity, and categorization (Priority: 5/5): The discussion argues that social platforms encourage increasingly granular labels—generational, aesthetic, and subcultural—that make users easier to target commercially and socially. Influencer voice and performance (Priority: 4/5): The episode analyzes how creators develop 'algorithm-friendly' delivery styles, accents, and pacing that maximize retention and align with platform expectations. Political extremity and virality (Priority: 4/5): The conversation warns that algorithms often amplify concise, provocative, and extreme political content, helping clip-friendly figures and ideas spread more effectively than nuanced ones. Media history and code-switching (Priority: 3/5): Alexic places social media in a longer history of media shifts—from oral tradition to print to TV to internet—arguing that each medium reshapes how people communicate and what language endures.

Key Arguments: Algorithms shape language by rewarding words, formats, and styles that maximize engagement, making creators adapt their speech to platform incentives. 'Unalive' demonstrates that algorithmic moderation can directly generate new vocabulary, which then escapes the platform and enters offline use. Trending slang spreads faster because social media rewards repetition and searchable metadata, turning jokes and meme words into widely adopted terms. What looks like personal expression is often platform-driven categorization; subcultures and aesthetics become commercial demographic targets. Influencers are both exploiting and being shaped by the algorithm: they use viral language to survive economically, which in turn helps the platform. The most durable language changes may come from less flashy, more embedded shifts, including words from minority or fringe communities. Algorithms can amplify extreme political messaging because outrage and certainty travel farther than nuance in clip-based media. Young people are more media-literate than older users in some respects, but they are also vulnerable to radicalization through algorithmic slang and community formation.

Data Points: Followers: over 3 million - Adam Alexic’s combined audience across TikTok and Instagram Timeframe: 25 years - Opening reference to a Pacific ecosystem left undisturbed before nearby waters were opened to commercial fishing Gen Z interest in influencer careers: more than half - Claim that more than half of Gen Z in the U.S. would like to be social media influencers Video views: 16 million+ - Adam Alexic’s popular video explaining the words 'chai' and 'tea' Middle school teacher surveys: 1,000+ - Alexic says he surveyed over a thousand middle school teachers about the use of 'unalive'

Pivotal Quotes: "We are entering an entirely new era of language change driven by social media algorithms." — Adam Alexic: Explaining how platform design is now a major force in how words emerge and spread "The algorithm is the culprit, but influencers are the accomplices." — Adam Alexic: Summarizing the reciprocal relationship between creators and platform incentives "You should be paying attention to your 15-year-old if you want to really understand what the state of the English language is right now." — Adam Alexic: Describing teenagers as key indicators of emerging language trends

Implications: Listeners should be more skeptical of viral language, labels, and content feeds: platforms shape both culture and politics by rewarding attention-grabbing speech. Media literacy, code-switching awareness, and diversified news sources become increasingly important.